{"data":{"slug":"suno-ai-bark","name":"bark","tagline":"Text-Prompted Generative Audio Model","github_url":"https://github.com/suno-ai/bark","owner":"suno-ai","repo":"bark","owner_avatar_url":"https://avatars.githubusercontent.com/u/99442120?v=4","primary_language":"Jupyter Notebook","stars":39218,"forks":4669,"topics":[],"archived":false,"github_pushed_at":"2024-08-19T07:45:36+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/suno-ai-bark","markdown_url":"https://www.graphcanon.com/tools/suno-ai-bark.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/suno-ai-bark","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=suno-ai-bark","description":"🔊 Text-Prompted Generative Audio Model","homepage_url":null,"license":"MIT","open_issues":268,"watchers":334,"ai_summary":"Bark is an audio synthesis tool that converts text into speech using generative models.","readme_excerpt":"## 💻 Installation\n*‼️ CAUTION ‼️ Do NOT use `pip install bark`. It installs a different package, which is not managed by Suno.*\n```bash\npip install git+https://github.com/suno-ai/bark.git\n```\n\nor\n\n```bash\ngit clone https://github.com/suno-ai/bark\ncd bark && pip install . \n```\n\n---\n\n## 🛠️ Hardware and Inference Speed\n\nBark has been tested and works on both CPU and GPU (`pytorch 2.0+`, CUDA 11.7 and CUDA 12.0).\n\nOn enterprise GPUs and PyTorch nightly, Bark can generate audio in roughly real-time. On older GPUs, default colab, or CPU, inference time might be significantly slower. For older GPUs or CPU you might want to consider using smaller models. Details can be found in out tutorial sections here.\n\nThe full version of Bark requires around 12GB of VRAM to hold everything on GPU at the same time. \nTo use a smaller version of the models, which should fit into 8GB VRAM, set the environment flag `SUNO_USE_SMALL_MODELS=True`.\n\nIf you don't have hardware available or if you want to play with bigger versions of our models, you can also sign up for early access to our model playground [here](https://suno-ai.typeform.com/suno-studio).\n\n---\n\n## © License\n\nBark is licensed under the MIT License.","github_created_at":"2023-04-07T19:34:48+00:00","created_at":"2026-07-11T23:09:35.688778+00:00","updated_at":"2026-08-02T00:00:05.055929+00:00","categories":[{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"audio-generation","name":"audio-generation"},{"slug":"speech-synthesis","name":"speech-synthesis"},{"slug":"text-to-speech","name":"text-to-speech"}],"trust":{"provenance":{"is_fork":false,"github_id":624994625,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-02T00:00:04.286Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":712,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:09:46.128Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-02T00:00:04.780Z"},"languages":{"value":["jupyter notebook","python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-02T00:00:04.780Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-02T00:00:04.780Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Bark is open-source and free to use with options for early access to larger models through a sign-up process at Suno AI's designated webpage."},"requirements":{"notes":["Execution on CPUs or older GPUs may result in significantly slower inference times.","For limited hardware, set the environment flag `SUNO_USE_SMALL_MODELS=True` to ensure compatibility with 8GB VRAM."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need to convert text into speech in real-time using PyTorch 2.0+ and enterprise-level GPUs.","If your project requires the MIT License for open-source compatibility without restrictions on commercial use."],"when_not_to_use":["Avoid if your hardware configuration lacks at least 12GB of VRAM, as this is required to operate Bark's full version model efficiently on GPU.","If real-time audio generation is not feasible due to limited hardware like older GPUs or CPUs, consider other TTS models with a smaller footprint."],"source":"enrich:decision_facts","observed_at":"2026-07-15T10:35:57.328Z"},"constraint_facets":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - Bark is open-source and free to use with options for early access to larger models through a sign-up process at Suno AI's designated webpage."},{"label":"Requirements","value":"Execution on CPUs or older GPUs may result in significantly slower inference times.; For limited hardware, set the environment flag `SUNO_USE_SMALL_MODELS=True` to ensure compatibility with 8GB VRAM."},{"label":"Adopt for","value":"Bark is recognized for its text-to-speech conversion capabilities, operating both on CPUs and GPUs with varying speeds based on hardware specifications."},{"label":"License detail","value":"Bark operates under the MIT License, granting permissive rights for both modified and unmodified copies of its software without warranting it against infringement."}]}}